Evidence map›Paper›PMID 28508147›Full record

ArticleCurrent microbiology2017

Identification of beta-Lactamases and beta-Lactam-Related Proteins in Human Pathogenic Bacteria using a Computational Search Approach.

Aniel Jessica Leticia Brambila-Tapia, Ernesto Perez-Rueda, Humberto Barrios, Nory Omayra Dávalos-Rodríguez, Ingrid Patricia Dávalos-Rodríguez, Ernesto Germán Cardona-Muñoz, Mario Salazar-Páramo

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Article in Current microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Aniel Jessica Leticia Brambila-TapiaDepartamento de Psicología Básica, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara, Sierra Mojada #950, colonia Independencia, C.P. 44340, Guadalajara, Jalisco, Mexico. anieljessica@hotmail.com.
Ernesto Perez-RuedaInstituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS), Unidad Académica de Ciencias y Tecnología Universidad Nacional Autónoma de México (UNAM), Mérida, Yucatán, Mexico.
Humberto BarriosDepartamento de Diagnóstico Epidemiológico, Instituto Nacional de Salud Pública, Centro de Investigación Sobre Enfermedades Infecciosas (CISEI), Cuernavaca, Morelos, Mexico.
Nory Omayra Dávalos-RodríguezInstituto de Genética Humana, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
Ingrid Patricia Dávalos-RodríguezInstituto de Genética Humana, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
Ernesto Germán Cardona-MuñozDepartamento de Fisiología, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara, Sierra Mojada #950, colonia Independencia, C.P. 44340, Guadalajara, Jalisco, Mexico.
Mario Salazar-PáramoDepartamento de Fisiología, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara, Sierra Mojada #950, colonia Independencia, C.P. 44340, Guadalajara, Jalisco, Mexico. msalazpa@hotmail.com.
Universidad de Guadalajara · MXInstituto Nacional de Salud Pública · MXMexican Social Security Institute · MXUniversidad Americana de Morelos · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A systematic analysis of beta-lactamases based on comparative proteomics has not been performed thus far. In this report, we searched for the presence of beta-lactam-related proteins in 591 bacterial proteomes belonging to 52 species that are pathogenic to humans. The amino acid sequences for 19 different types of beta-lactamases (ACT, CARB, CifA, CMY, CTX, FOX, GES, GOB, IMP, IND, KPC, LEN, OKP, OXA, OXY, SHV, TEM, NDM, and VIM) were obtained from the ARG-ANNOT database and were used to construct 19 HMM profiles, which were used to identify potential beta-lactamases in the completely sequenced bacterial proteomes. A total of 2877 matches that included the word "beta-lactamase" and/or "penicillin" in the functional annotation and/or in any of its regions were obtained. These enzymes were mainly described as "penicillin-binding proteins," "beta-lactamases," and "metallo-beta-lactamases" and were observed in 47 of the 52 species studied. In addition, proteins classified as "beta-lactamases" were observed in 39 of the species included. A positive correlation between the number of beta-lactam-related proteins per species and the proteome size was observed (R 0.78, P < 0.00001). This correlation partially explains the high presence of beta-lactam-related proteins in large proteomes, such as Nocardia brasiliensis, Bacillus anthracis, and Mycobacterium tuberculosis, along with their absence in small proteomes, such as Chlamydia spp. and Mycoplasma spp. We detected only five types of beta-lactamases (TEM, SHV, CTX, IMP, and OXA) and other related proteins in particular species that corresponded with those reported in the literature. We additionally detected other potential species-specific beta-lactamases that have not yet been reported. In the future, better results will be achieved due to more accurate sequence annotations and a greater number of sequenced genomes.

Indexed as

Genome, BacterialBacteriabeta-LactamasesComputational BiologyPenicillin-Binding Proteinsbeta-LactamasesPenicillin-Binding Proteins

Identifiers

PMID28508147
OpenAlexW2614365115

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.